Today's optical transport networks are complex already and the support of the new arising services will further increase such complexity. Traditional deterministic network procedures will need to be revisited, especially their operations. Network Operators will require more dynamic approaches to get the best out of their infrastructure. In this context, cognition and machine learning techniques can

Passive optical networks (PONs) are the most successful broadband access solutions for its wide bandwidth, low-cost deployment worldwide, and maintenance. In the last decade, the diverse and prevalent research related to PONs sustains 330+ science citation index (SCI) articles per year, with 9.18 average citations per article, making it "big literature data". This article, for the first time, presents

Elastic Optical Networks (EONs) allow the channel spacing and the spectral width of an optical signal to be dynamically adjusted and hence have become an important paradigm in managing the heterogeneous bandwidth demands of optical backbone networks. The entire available optical spectrum is divided into some spectrum slots which define the smallest granularity of bandwidth and optical signals with

Elastic Optical Networks (EON) emerge as a viable solution to support the current growing demand for bandwidth. With the application of multi-core fibers (MCF) in EON links, it is possible to increase the availability of spectral resources and explore the spatial dimension. An EON network with MCF enables Space-Division Multiplexing (SDM), allowing the use of more resources in fibers and increasing

In this paper, we focus on dynamic lightpath provisioning in translucent spectrally spatially flexible optical networks (SS-FONs) created with a combination of both spectral (EON) and spatial (SDM) flexibility. We utilize the distance-adaptive transmission (DAT) in order to select a modulation for request and routing path in a flexible manner. Moreover, we assume that the signal regeneration is realized

Application-centric networking proposes a novel approach to provision connectivity services in transport networks based on application-specific requirements. By exploiting this paradigm, an application can request a service with several requirements to a generic control and management plane, which can leverage this information to differentiate a service on the overall network layers. However, an application-centric

In this paper, we concentrate on the comparison of different switching policies, as well as their corresponding spatially-spectrally flexible super-channel transmission technologies, in static SDM-EONs. These switching policies are different due to their different spatial switching granularities and/or whether the space lane change (SLC) is supported. According to our simulation results, the switching

Underwater Optical Wireless Communication (UOWC) is a high-speed data transmission technology promising to support the concept of the Internet of Underwater Things (IoUT). The performance of UOWC-based IoUT networks, especially medium access control (MAC), could be affected significantly by physical factors in the underwater environment. However, there is a lack of studies on the MAC performance analysis

In this study, we evaluate the operation of the Converting-Space-Converting switching fabric architecture. The investigated switching fabric is suitable for all kinds of slot-operating switches, no matters the slots are wavelengths, time, or others. The switching fabric is evaluated in terms of the number of slots in the interstage links and the blocking probability. In the evaluation process, we used

The rise of emerging services has brought a rapid growth in bulk data transfers across inter-datacenter (DC) wide area networks (WANs). To accommodate the demands of such services, DC storage is introduced into the data-plane path so that delay-tolerant bulk data can be temporarily stored and forwarded (SnF) when network is less busy. However, the use of storage transforms a conventional routing problem

Elastic optical network has recently been deemed as a promising infrastructure to support the ever-increasing bandwidth demand of emerging applications, due to its high transmission rate, fine-grained and flexible spectrum allocation. With the explosive growth of traffic, optimizing energy and spectrum efficiency has become a critical issue for green elastic optical networks, which is closely related

This paper presents five approaches to solve the problem of finding the optimal backup resource assignment which maximizes the survival probability of network functions of middleboxes. In the previous work, no mathematical model to solve this problem is provided, so we formulate the problem as a mixed-integer linear programming (MILP) problem as the first approach. Formulating this MILP problem includes

One of the newest technologies to qualify transmission capacity of optical backbone networks is Space Division Multiplexing with Elastic Optical Networks (SDM-EONs). SDM-EON has the feasibility to add flexibility to Wavelength division Multiplexing (WDM) networks. In SDM-EON, connections can be setup more efficiently than WDM networks and EON without SDM. There are challenging issues in SDM-EON as

Emerging applications such as remotely-controlled human-to-machine and tactile-haptic applications in the Internet evolution demand stringent low-latency transmission. In realising these applications, current communication networks need to reduce their latency towards a millisecond order. In our previous study, we exploited supervised learning-based machine learning techniques in analysing and optimising